PhD in Statistics

Mode of study
Attendance

Duration
3 Years

Campus
East Legon

Local Fees
GHS 18000.00

International Fees
GHS

Entry year
2023-2024

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The Doctor of Philosophy in Statistics is a highly esteemed academic degree programme, offering advanced studies in the field of statistics. This comprehensive programme provides an in-depth curriculum that ensures students develop a profound understanding of statistical theories, methodologies, and techniques. Pursuing a Doctor of Philosophy in Statistics allows individuals to engage in rigorous research, contribute to the advancement of statistical knowledge, and make significant contributions to their respective fields.

The programme typically includes coursework, seminars, and independent research projects, fostering the development of critical thinking, problem-solving, and analytical skills. Given the increasing demand for professionals with expertise in statistics, obtaining a Doctor of Philosophy in Statistics opens up a multitude of career opportunities across various sectors, including academia, government, industry, and research organizations.

Graduates of this programme are equipped with the necessary skills and knowledge to tackle complex statistical problems, analyze data, and provide valuable insights for informed decision-making processes.

In summary, a Doctor of Philosophy in Statistics is a prestigious and intellectually stimulating programme, offering individuals the opportunity to become leading experts in the field of statistics and contribute significantly to the advancement of statistical knowledge.

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Course Objectives

Technical Competence in Computer Science

One of the key benefits of pursuing a BSc Computer Science with Management degree is the solid foundation in computer science it provides. From programming languages to algorithms, database management to software development, you will gain a comprehensive understanding of the technical aspects of computer science. These skills will enable you to design and develop software systems, analyze complex data sets, and tackle real-world computational problems

Business Acumen and Management Skills

In addition to in-depth technical knowledge, this degree program equips you with essential business acumen and management skills. You will learn about organizational behavior, strategic management, project management, and entrepreneurship. This unique combination of computer science and management will make you well-rounded and better prepared to take on leadership roles in the tech industry.

Entry Requirements

This course creates a platform for an advanced financial education and you will explore a systematized flow and management of money and assets. Banking and Finance affords you an endless career options as you acquire expert knowledge, skill-set and requisite fundamentals of the financial world.

Master's Degree Holders 

Candidates with research Masters, (i.e., MSc/MPhil who have conducted one full year research) in Statistics, Actuarial Science, Mathematics or related quantitative discipline, can be admitted directly into the PhD programme.

 

 

Non-Research Master's Degree Holders

Exception is given to non-research Master’s degree holders with the technical background, having CGPA of 3.5 or better, grade C or better in Research Methods. Such exceptional candidates can be admitted directly into the PhD programme.

Other Master's Degree Holders

Candidates with non-mathematical/statistical master's degree such as  Economics, Sociology, Health, Agriculture, Geography etc. would be admitted into the doctorial degree for four years. The first year would be a preparatory programme and the subsequent 3 years for research. Only Candidates with a B or CGPA of 3.0 or better will be admitted into the Preparatory programme. 

Academic Modules

Career Prospects

• Data Scientist

• Statistical Consultant

• Researcher/Professor

• Quantitative Analyst

• Biostatistician

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Career Prospects

• Data Scientist

• Statistical Consultant

• Researcher/Professor

• Quantitative Analyst

• Biostatistician

Why choose PhD in Statistics

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Tuition costs

Explore detailed information about our tuition costs and payment options. We are committed to providing a transparent and affordable education for all our students.

Domestic fees

4-month semesters

Year 1 Semester Fees
18000.00
(12 credit minimum)

Year 2 Semester Fees
0.00
(12 credit minimum)

Year 3 Semester Fees
None
(12 credit minimum)

Year 4 Semester Fees
None
(12 credit minimum)

  • Total
  • $21,490

International fees

4-month semesters

Year 1 Semester Fees
(12 credit minimum)

Year 2 Semester Fees
(12 credit minimum)

Year 3 Semester Fees
(12 credit minimum)

Year 4 Semester Fees
(12 credit minimum)

  • Total
  • $21,490

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